Scholar
Tom S Juzek
Google Scholar ID: t-S1vh0AAAAJ
Florida State University
Citations & Impact
Citations
211
H-index
7
i10-index
5
Publications
20
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Selected Publications:
- - Juzek, T. S., & Ward, Z. B. (2025). Why Does ChatGPT “Delve” So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models. The Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).
- - Juzek, T. S. (2024). Signal Smoothing and Syntactic Choices: A Critical Reflection on the UID Hypothesis. Open Mind, 8, 217-234.
- - Juzek, T. S., Krielke, M. P., & Teich, E. (2020). Exploring diachronic syntactic shifts with dependency length: the case of scientific English. In Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020) (pp. 109-119).
- More publications at Google Scholar.
Research Experience
- Assistant Professor in Computational Linguistics, with a courtesy appointment in Scientific Computing. He also co-organizes the SC Machine Learning Seminar.
Education
- M.A. in phonetics, University of Bonn; Ph.D. in linguistics, Oxford University
Background
- His research interests include the application of computational methods to linguistic questions, with a current focus on the features of AI-generated language, its impact on human language usage, and the causes that influence model behavior. Prior to joining FSU, Dr. Juzek worked in the tech industry for several years.
Miscellany
- Serves as the advisor for the Computational Linguistics track in FSU's Data Science Program. He also mentors several students participating in the Undergraduate Research Opportunity Program (UPOP).
